The White House just released a national AI legislation framework — not a statute yet, but a clear signal to Congress, federal agencies and state regulators on where US AI rules are heading.

For Chinese companies selling into the US market, three implications matter most:

1. "High-risk AI" is being defined by use case, not by technology.
The same foundation model can be low-risk in a customer-service chatbot and high-risk when deployed for hiring, credit, or healthcare decisions. If you license one model to multiple US verticals, each deployment now needs its own compliance read.

2. Training data transparency is tightening.
Expectations are rising around documenting data sources, copyright status, and de-identification. The "train first, deal with it later" approach is becoming a real litigation and audit risk.

3. Cross-border data + AI = stacked regulation.
A typical setup I see: model trained in China, service delivered to US users. The framework forces a fresh look at US data-security review, localized disclosure to US users, and whether a US compliance contact is needed.

The framework lands before any bill passes Congress — that is the window. Use it to:

The hardest part of cross-border practice is never reading one statute — it is aligning two or three regimes on a single product. That alignment just got harder.

If your product touches US users, this is the quarter to do the audit.

Specific obligations depend on local counsel and the law in force.

#AICompliance #CrossBorderLaw #USChinaBusiness #AIRegulation #TechLaw

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Mike Wu, China-licensed Attorney · Cross-border practice
4 languages (CN/EN/ES/JA)
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